Skip to main content

Design of Experiments (DOE)

  • Chapter
  • First Online:

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

This chapter comprises five sections. The first section is an introduction to DOE containing guidelines and some basic concepts and principles. The next three sections present examples published some years ago in diverse journals. Each example represents a different application category: a simulation experiment, a physical experiment, and a complex analytical expression. The scene of the simulation experiment was set in a flexible manufacturing environment and its aim was to investigate the impact of several factors in this environment. The physical experiment has been carried out to improve the quality of a special type of batteries. The third example examined the numerical value of a deterministic complex analytical expression representing a customer oriented logistics performance measure, as calculated for different values of its parameters (the given numerical values of the investigated factors). A review of these three examples has been recently published in Applied Mathematics, see Barad 2014. The fifth section presents a discussion of Taguchi’s contribution to experimental design.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Barad M (1992) The impact of some flexibility factors in fmss—a performance evaluation approach. Int J Prod Res 30:2587–2602

    Article  Google Scholar 

  • Barad M (2014) Design of experiments (DOE)—a valuable multi-purpose methodology. Appl Math 5:2120–2129

    Google Scholar 

  • Barad M, Even-Sapir D (2003) Flexibility in logistics systems—modeling and performance evaluation. Int J Prod Econ 85:155–170

    Article  Google Scholar 

  • Barad M, Bezalel C, Goldstein JR (1989) Prior research is the key to fractional factorial design. Qual Prog 22:71–75

    Google Scholar 

  • Box GE, Hunter WG, Hunter JS (2005) Statistics for experimenters, 2nd edn. Wiley, New York

    Google Scholar 

  • Dehnad K (ed) (1989) Quality control. Robust design and the Taguchi method. Wadsworth & Brooks/Cole, California

    MATH  Google Scholar 

  • Law AM, Kelton WD (2000) Simulation modeling and analysis, 3rd edn. McGraw Hill, New York

    Google Scholar 

  • Montgomery DC (2012) Design and analysis of experiments, 5th edn. Wiley, New York

    Google Scholar 

  • Ross PJ (1996) Taguchi techniques for quality engineering, 2nd edn. McGraw Hill, New York

    Google Scholar 

  • Taguchi G (1986) Introduction to quality engineering. Asian Productivity Organization, Tokyo

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Barad, M. (2018). Design of Experiments (DOE). In: Strategies and Techniques for Quality and Flexibility. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-68400-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68400-0_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68399-7

  • Online ISBN: 978-3-319-68400-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics